Introduction to Visualization: Theory and Practice

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Visualization combines art and science to help understand complex information. It requires both theoretical knowledge of how people perceive visual elements like colors and shapes, and practical skills in using tools to create charts and graphs. Like artists, data visualizers tell stories through visual representations.

Applied Data Science Tapas knowledge capsules provide comprehensive educational content spanning multiple domains: from foundational data science principles and methodologies, through advanced machine learning techniques and algorithms, to cutting-edge Deep Learning applications in Artificial Intelligence. These capsules are designed to bridge theoretical concepts with practical implementations, offering insights into both established practices and emerging trends in the field of computational data analysis.

SERIES:  Data Science Tapas
Where: REGISTER for Zoom link  Weaver Science & Engineering Library Room 212 and Zoom
Instructor: Devin Bayly
YouTube: UArizona DataLab and session links

Workshop Sessions:

• 2/05 Introduction to Python for Data Science
• 2/19 Introduction to Machine Learning Algorithms
• 3/05 Introduction to Visualization: Theory and Practice
• 3/19 Introduction to Deep Learning for Healthcare
• 4/02 Introduction to Speech to text with Whisper AI
• 4/16 Introduction to Python Accelerated Data Science with RAPIDS

Register